S
S. Di Cairano
Researcher at Mitsubishi Electric Research Laboratories
Publications - 38
Citations - 2692
S. Di Cairano is an academic researcher from Mitsubishi Electric Research Laboratories. The author has contributed to research in topics: Model predictive control & Control theory. The author has an hindex of 20, co-authored 38 publications receiving 2316 citations. Previous affiliations of S. Di Cairano include Mitsubishi & University of Siena.
Papers
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Journal ArticleDOI
MPC-Based Energy Management of a Power-Split Hybrid Electric Vehicle
Hoseinali Borhan,Ardalan Vahidi,Anthony Mark Phillips,Ming L. Kuang,Ilya Kolmanovsky,S. Di Cairano +5 more
TL;DR: The results of a nonlinear MPC strategy show a noticeable improvement in fuel economy with respect to those of an available controller in the commercial Powertrain System Analysis Toolkit (PSAT) software and the other proposed methodology by the authors based on a linear time-varying MPC.
Journal ArticleDOI
Vehicle Yaw Stability Control by Coordinated Active Front Steering and Differential Braking in the Tire Sideslip Angles Domain
TL;DR: A control architecture that has the potential of improving yaw stability control by achieving faster convergence and reduced impact on the longitudinal dynamics is investigated and is capable of real-time execution in automotive-grade electronic control units.
Journal ArticleDOI
Model Predictive Control approach for guidance of spacecraft rendezvous and proximity maneuvering
TL;DR: In this paper, a Model Predictive Control (MPC) approach is applied to spacecraft rendezvous and proximity maneuvering problems in the orbital plane, where various constraints arising in these maneuvers can be effectively handled with the MPC approach.
Proceedings ArticleDOI
A stochastic model predictive control approach for series hybrid electric vehicle power management
TL;DR: In this paper, a stochastic model predictive control (SMPC) is used for power management in vehicles equipped with advanced hybrid powertrains, where the power demand from the driver is modeled as a Markov chain estimated on several driving cycles and used to generate scenarios in the SMPC law.
Proceedings ArticleDOI
The development of Model Predictive Control in automotive industry: A survey
TL;DR: This paper surveys the investigations of MPC in the automotive industry with particular focus on the developments at Ford Motor Company, and presents three applications that have been recently prototyped in fully functional production-like vehicles.